Okyaz Eminaga
Medical Doctor at AI VOBIS
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolOkyaz Eminaga is an IT project manager and physician-scientist with eight years of multidisciplinary experience at the intersection of clinical medicine, AI, and digital health, currently based in Palo Alto and working at Stanford University School of Medicine. He has led and commercialized AI-driven translational research—developing superior data-driven cancer grading and weakly-supervised survival models—and played a key role in securing over $2.8M in grant funding for multidisciplinary AI projects. As founder of AI VOBIS and Executive in Residence at NEC X, he blends startup product thinking with academic rigor to move AI tools from prototype to clinical impact. His background as a practicing urologist and research director informs pragmatic device and regulatory insight uncommon among data scientists, enabling smoother clinical integration of digital biomarkers and FAIR data practices. He combines hands-on coding in Python/R and strategic partnership management to run remote, multi-site research collaborations and accelerate adoption of AI in oncology.
9 years of coding experience
5 years of employment as a software developer
US-equivalent PhD, Medical Informatics/Pathology, US-equivalent PhD, Medical Informatics/Pathology at University of MünsterHigh School Diploma, High School Diploma at Al-falah School, Makkah, Saudi ArabiaPost Doctoral, Artificial Intelligence, Post Doctoral, Artificial Intelligence at Stanford University
German, English, Arabic, Turkish
Github Skills (21)
histopathology10
imaging10
keras9
medical9
medical-imaging9
computer-vision9
python8
deep-learning8
tensorflow8
pytorch8
data-science7
machine-learning7
jax7
cryptocurrency5
bitcoin4
Programming languages (2)
Github contributions (5)
oeminaga/framework_cystoAI_fair
Dec 2022 - Feb 2023
Contributions:1 release, 27 commits, 30 pushes in 2 months
oeminaga/PlexusNet
Jun 2020 - Dec 2022
PlexusNet for medical imaging
Contributions:1 release, 291 commits, 6 PRs in 2 years 7 months
imagingcnncomputer-visiondeep-learninghistopathology
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